Leveraging Machine Learning for Size and Shape Analysis of Nanoparticles: A Shortcut to Electron Microscopy-Reference-Cited by-同舟云学术

Leveraging Machine Learning for Size and Shape Analysis of Nanoparticles: A Shortcut to Electron Microscopy

Published:2023-12-28 Issue:1 Volume:128 Page:421-427
ISSN:1932-7447
Container-title:The Journal of Physical Chemistry C
language:en
Short-container-title:J. Phys. Chem. C

Author:

Glaubitz Christina¹,Bazzoni Amélie¹^ORCID,Ackermann-Hirschi Liliane¹,Baraldi Laura²,Haeffner Moritz¹,Fortunatus Roman¹,Rothen-Rutishauser Barbara¹^ORCID,Balog Sandor¹^ORCID,Petri-Fink Alke¹³^ORCID

Affiliation:

1. Adolphe Merkle Institute, University of Fribourg, Chemin des Verdiers 4, 1700 Fribourg, Switzerland

2. Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 17/A, 43124 Parma, Italy

3. Chemistry Department, University of Fribourg, Chemin du Musée 9, 1700 Fribourg, Switzerland

Funder

Universit? de Fribourg

Schweizerischer Nationalfonds zur F?rderung der Wissenschaftlichen Forschung

Adolphe Merkle Foundation

Publisher

American Chemical Society (ACS)

Subject

Surfaces, Coatings and Films,Physical and Theoretical Chemistry,General Energy,Electronic, Optical and Magnetic Materials

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpcc.3c05938

Reference60 articles.

1. Small Amounts of Zinc from Zinc Oxide Particles in Sunscreens Applied Outdoors Are Absorbed through Human Skin

2. Toxicity evaluation of TiO2 nanoparticles embedded in toothpaste products

3. Nanotechnologies for environmental cleanup

4. Development of CuO/CuS/MnO2 ternary nanocomposite for visible light-induced photocatalytic degradation of methylene blue

5. Fundamental formulations and recent achievements in piezoelectric nano-structures: a review

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